An exchange rate forecasting method based on probabilistic neural network

Author

Wang Hua ; Liu Bing-xiang ; Cheng Xiang ; Xiao Xuan

Author_Institution

Sch. of Inf. Eng., JDZ Ceramic Inst., Jingdezhen, China

Volume

6

fYear

2011

fDate

12-14 Aug. 2011

Firstpage

3124

Lastpage

3126

Abstract

Foreign exchange market is a complex market, with a high degree of volatility characteristics. Exchange rate formation mechanism and the factors affecting exchange rate volatility is also very complex, is a nonlinear system, it is difficult to accurately forecast, probabilistic neural network is applied to the frontiers of forecast, and aimed at the characteristics of probabilistic neural network to pretreatment the exchange of data and forecast the tendency. And by changing the vector dimensionality experiment obtain the best entry to embed dimensionality, tested and improved the precise prediction and valuable.

Keywords

economic forecasting; exchange rates; neural nets; probability; complex market; exchange rate forecasting method; exchange rate formation mechanism; foreign exchange market; nonlinear system; probabilistic neural network; vector dimensionality; volatility characteristics; Accuracy; Biological neural networks; Exchange rates; Forecasting; Prediction algorithms; Probabilistic logic; Training; exchange rate; forecast; probabilistic neural network;

fLanguage

English

Publisher

ieee

Conference_Titel

Electronic and Mechanical Engineering and Information Technology (EMEIT), 2011 International Conference on

Conference_Location

Harbin, Heilongjiang, China

Print_ISBN

978-1-61284-087-1

Type

conf

DOI

10.1109/EMEIT.2011.6023749

Filename

6023749